AI Applications

A collection of projects combining agentic pipelines, LLMs, and full-stack engineering. Click on an image or the link to visit the GitHub repository.

Responsive
kanso screenshot

kanso

Backend application designed to handle AI-driven task management and planning workflows through LLM service calls.

Tech: FastAPI, Pydantic, LLM Service Calls, OpenAI (GPT-4o-mini)

Agentic Abstraction for Chip Engineering (AACE) screenshot

Agentic Abstraction for Chip Engineering (AACE)

Agentic pipeline to create visual and interactive diagrams from chip design code.

Tech: LangGraph, FastAPI, Pydantic, GraphViz API, Next.js, AWS Bedrock, S3, EC2

NutriNav AI screenshot

NutriNav AI

Agentic pipeline designed to create nutritionally accurate, safe, and customizable meal plans tailored to a user's specific needs.

Tech: LangGraph, FastAPI, Pydantic, USDA API, Next.js, Gemini 2.5 Flash

LLM Bible Tutor screenshot

LLM Bible Tutor

Implement a Retrieval-Augmented Generation (RAG) pipeline for the Douay-Rheims Bible, enabling an LLM to answer scriptural queries with precise, cited verse references based on semantic vector search.

Tech: Python, OpenAI (GPT-4o-mini, text-embedding-3-small), LangChain, ChromaDB (vector database)

Like What You See?

These projects showcase my approach to problem-solving and full-stack development. If you're interested in building something together or have feedback, let's talk.

Luis Villalon © 2026